Cross-channel TV advertising platform with predictive targeting and measurement
Simulmedia operates a data-science-driven TV advertising stack spanning linear, CTV, and gaming, built on React + Next.js + Python + TensorFlow. The company is actively scaling ML-based ad targeting and campaign optimization while simultaneously launching a new self-service CTV platform and expanding into pharma — a hiring mix weighted heavily toward data (4 roles) and sales (2), with senior and director-level fills suggesting either backfill of specialized talent or growth into new verticals. Internal pain points cluster around campaign setup, measurement, and the research-to-production pipeline, indicating the platform is maturing from custom optimization toward automation.
Notable leadership hires: Director Pharma
Simulmedia is a TV advertising technology company founded in 2008 and based in New York. The company serves mid-market to enterprise advertisers planning and buying across linear TV, connected TV (CTV), and free-to-play gaming (via PlayerWON). The core product, TV+, combines predictive audience modeling with cross-channel media buying and measurement. Simulmedia has built a 15+ year dataset of TV viewership patterns to power lookalike modeling and targeting. The company operates with 51–200 employees, primarily in the United States, and is structured around data science, sales, and product functions.
Frontend: React, Next.js, TypeScript, Tailwind CSS. Backend: Node.js, tRPC. Data/ML: Python, scikit-learn, TensorFlow, PyTorch, SQL. Visualization: D3.js, Chart.js.
A new self-service CTV platform, ad targeting model development using reinforcement learning, campaign optimization, PlayerWON operational stack expansion, and pharma healthcare category entry with patient-population targeting.
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